Application of Fuzzy Analytic Hierarchy Process in Ranking Modern Educational Systems’ Success Criteria

Abstract

Abstract-by advancing information and communication technology (ICT), e-learning has emerged as a modern educational paradigm. This online learning environment improves the delivery of teaching content, knowledge sharing among trainees, social interaction and so forth. Regarding mass investment for e-learning solutions which don't meet their original objectives, e-learning performance assessment remains crucial. E-learning appraisal assists managers of educational institutes by revealing weak and strength aspects of these initiatives and creates opportunity to improve and make effective e-learning systems. This paper aim is to introduce a new approach to e-learning system assessment by identifying and prioritizing the preliminary e-learning critical success factors (CSFs) or enablers that need to be concentrated by universities and educational institutes. The result of such performance evaluation subsequently acts as an informative tool for developing e-learning systems plan.

Implementation of the Analytic Hierarchy Process for Student Profile Analysis

“…In [14], the authors used the AHP method to identify and rank the factors that have the most effect on the success of online learning. They first grouped together the possible factors and then calculated the weights of these criteria via their own tool.…”

“…Authors in [15] combine the AHP method to Delphi method in order to analyze and model User Psycho-logical Experience. The experiment is done at Chinese university.…”

“…Finally, the AHP combines the weights of criteria and alternative scores, thereby determining an overall score for each option, which is a weighted sum of the scores obtained and the highest score corresponds to the option one has to choose [15].…”

“…In order to evaluate the consistency of the comparisons (responses) and verify the logical relationship between data, the author in [15] proposes to calculate a Consisten-cy Index parameter (IC). It allows us to represent the level of reliability of our judgment.…”

Ranking the barriers of supplier development using fuzzy AHP approach

“…The fuzzy AHP is selected to address and solve the identified problem. The main advantage of fuzzy AHP is the ability to capture the judgment of multiple experts to prioritise and analyse SDBs (Tang and Chang, 2012;Mehregan et al, 2011). The proposed method is very simple and easy to understand, which increases its acceptability for implementation.…”